Voltage-Induced Heating Defect Detection for Electrical Equipment in Thermal Images

Ying Lin (), Zhuangzhuang Li, Yiwei Sun, Yi Yang and Wenjie Zheng
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Ying Lin: State Grid Shandong Electric Power Research Institute, Jinan 250002, China
Zhuangzhuang Li: State Grid Shandong Electric Power Research Institute, Jinan 250002, China
Yiwei Sun: State Grid Shandong Electric Power Research Institute, Jinan 250002, China
Yi Yang: State Grid Shandong Electric Power Research Institute, Jinan 250002, China
Wenjie Zheng: State Grid Shandong Electric Power Research Institute, Jinan 250002, China

Energies, 2023, vol. 16, issue 24, 1-13

Abstract: Voltage-induced heating defect is a type of defect that may occur in transformation substation equipment. Although this type of defect is less common compared to current-induced heating defects, it is crucial to identify it due to its association with severe insulation degradation problems that require prompt intervention. However, the temperature variations caused by these defects may be relatively subtle, making it challenging to distinguish them in thermal images. In this work, considering the characteristics of voltage-induced heating defects and the scarcity of defect data, we propose a two-stage method for defect detection. In the first stage, we employ oriented R-CNN to detect oriented parts of the equipment, accurately localizing the centerline of each part. In the second stage, we extract the temperature distribution along the centerline of specific parts and discretize them as features. Subsequently, we train one-class support vector machines based on the features extracted from normal images for defect diagnosis. Experimental results demonstrate that the proposed method is capable of accurately detecting defects while maintaining a low false positive rate.

Keywords: electrical equipment defect detection; voltage-induced heating defect; thermal image analysis; oriented object detection (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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